Online advertising systems bring in direct revenue to companies like Microsoft and Google. Occasionally, anomalous system behavior of malicious user intent can affect the health of such systems. Therefore, such systems require prompt and precise analytics to predict, pre-empt, detect, and diagnose problems such as sudden drops in revenue or new styles of click-fraud occur. Towards this, we are working on a set of projects to analyze these complex systems and keep them running in a healthy manner